We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Abstract. Most fMRI studies use voxel-wise statistics to carry out intrasubject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are l...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar ...
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
This work presents a scalability analysis of embarrassingly parallel applications running on cluster and multi-cluster machines. Several applications can be included in this catego...